seqPattern

seqPattern visualizes oligonucleotide patterns and sequence motifs across large sets of sequences centered on a common reference point to characterize motif distribution relative to genomic landmarks.

Key Features:

• Visualization Capabilities: Presents oligonucleotide patterns and sequence motifs in centered, comparative visualizations to reveal positional distribution relative to a reference point.
• Reference-Point Centering: Centers sequences and pattern displays around a user-specified reference point to standardize positional comparisons.
• User-Defined Sorting: Supports sorting of sequences based on user-defined features to organize pattern visualizations by biological or sequence-derived criteria.
• Large-Scale Sequence Input: Accepts and analyzes large sets of sequences for high-throughput motif distribution assessment.
• Bioconductor Integration: Operates within the Bioconductor ecosystem to ensure compatibility with Bioconductor data structures and workflows.
• R Implementation: Implements analysis and visualization functionality using the R statistical programming language.

Scientific Applications:

• Genomic Research: Identifies conserved or recurrent oligonucleotide motifs across species or populations to inform studies of genetic conservation and evolution.
• Gene Regulation Studies: Maps regulatory motifs relative to genes and genomic landmarks to support interpretation of transcription factor binding and regulatory element positioning.
• Disease Genomics: Detects aberrant or disease-associated sequence patterns to aid in pinpointing sequence variations linked to disease phenotypes.

Methodology:

Takes large sets of sequences as input; aligns sequences around a specified reference point; visualizes oligonucleotide patterns and sequence motifs; and supports custom sorting of sequences based on user-defined features.